Evidence map›Paper›PMID 42176050›Full record

ArticleRheumatology international2026

Axial spondyloarthritis patients with comorbid fibromyalgia feel worse, work less and more often try multiple biological therapies: results from a population-based, cross-sectional study investigating the discriminative capacity of pressure algometry.

Annie Brink, Elisabeth Mogard, Elisabet Lindqvist, Jonas Sagard, Carmen Roseman, Mats Geijer, Jack Kvistgaard Olsen, Johan K Wallman, Tor Olofsson

Abstract read
In one paragraph

Article in Rheumatology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Annie BrinkFaculty of Medicine, Department of Clinical Sciences Lund, Rheumatology, Lund University, Kioskgatan 5, Lund, 221 85, Sweden. annie.brink@med.lu.se.ORCID http://orcid.org/0000-0002-8630-1407
Elisabeth MogardFaculty of Medicine, Department of Clinical Sciences Lund, Rheumatology, Lund University, Kioskgatan 5, Lund, 221 85, Sweden.ORCID http://orcid.org/0000-0002-5706-203X
Elisabet LindqvistFaculty of Medicine, Department of Clinical Sciences Lund, Rheumatology, Lund University, Kioskgatan 5, Lund, 221 85, Sweden.ORCID http://orcid.org/0000-0002-9937-6352
Jonas SagardFaculty of Medicine, Department of Clinical Sciences Lund, Rheumatology, Lund University, Kioskgatan 5, Lund, 221 85, Sweden.ORCID http://orcid.org/0000-0001-7227-0665
Carmen RosemanFaculty of Medicine, Department of Clinical Sciences Lund, Rheumatology, Lund University, Kioskgatan 5, Lund, 221 85, Sweden.
Mats GeijerDepartment of Radiology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-0529-7723
Jack Kvistgaard OlsenThe Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-8591-7501
Johan K WallmanFaculty of Medicine, Department of Clinical Sciences Lund, Rheumatology, Lund University, Kioskgatan 5, Lund, 221 85, Sweden.ORCID http://orcid.org/0000-0002-4915-2924
Tor OlofssonFaculty of Medicine, Department of Clinical Sciences Lund, Rheumatology, Lund University, Kioskgatan 5, Lund, 221 85, Sweden.ORCID http://orcid.org/0000-0002-9919-4487

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To estimate prevalence and associated factors of comorbid fibromyalgia in axial spondyloarthritis (axSpA), and to explore discriminative capacity (for discerning fibromyalgia) of algometry-assessed pain sensitivity measures. AxSpA patients from the population-based SPARTAKUS cohort evaluated for fibromyalgia (1990 ACR criteria) were included (n = 243; r-axSpA/nr-axSpA = 165/78). Factors associated with fibromyalgia were cross-sectionally analyzed by logistic/linear regression, and discriminative potential of algometry-assessed measures estimated by ROC-curve analysis. A fibromyalgia prevalence of 9% was demonstrated, with a higher frequency in female than male patients (17%/2%;adjusted p < 0.001) and more than a doubling in frequency per 5-unit BMI increase (adjusted p < 0.002). Fibromyalgia was associated with several disease/work outcomes, including higher disease activity, lower quality-of-life, and less employment although without association to swollen joints/CRP. Additionally, patients with (versus without) fibromyalgia had higher bDMARD exposure (19%/5% had tried ≥ 3 bDMARDs; adjusted p = 0.009), and were more often on opioids (62%/16%;adjusted p < 0.001). Algometry-assessed measures displayed a sensitivity/specificity of 79%/70% (pain threshold) and 71%/83% (pain tolerance) for fibromyalgia differentiation (positive/negative predictive values 16%/99% and 23%/98%, respectively). Fibromyalgia is a frequent comorbidity in axSpA, more common in female patients/patients with higher BMI, and associated with worse levels of patient-reported disease/work outcomes. Our findings highlight the challenge of assessing axSpA disease activity when fibromyalgia is present and suggest a role for algometry as a complementary, evaluator-independent assessment tool, potentially useful for fibromyalgia rule-out but less so for rule-in. The results further suggest that fibromyalgia may be associated with DMARD overtreatment, reflecting a need for earlier and more precise targeting.

Indexed as

Axial SpondyloarthritisEmploymentFibromyalgiaAdultAntirheumatic AgentsComorbidityCross-Sectional StudiesFemaleHumansMaleMiddle AgedPain MeasurementPain ThresholdPredictive Value of TestsPrevalenceQuality of LifeAntirheumatic AgentsAlgometryAnkylosing spondylitisFibromyalgiaSpondyloarthritis

Identifiers

PMID42176050
PMCPMC13198514

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.